CN104457754B - SINS/LBL (strapdown inertial navigation systems/long base line) tight combination based AUV (autonomous underwater vehicle) underwater navigation positioning method - Google Patents

SINS/LBL (strapdown inertial navigation systems/long base line) tight combination based AUV (autonomous underwater vehicle) underwater navigation positioning method Download PDF

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CN104457754B
CN104457754B CN201410796735.XA CN201410796735A CN104457754B CN 104457754 B CN104457754 B CN 104457754B CN 201410796735 A CN201410796735 A CN 201410796735A CN 104457754 B CN104457754 B CN 104457754B
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sins
lbl
auv
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omega
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CN104457754A (en
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张涛
石宏飞
徐晓苏
陈立平
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Southeast University
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/10Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration
    • G01C21/12Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning
    • G01C21/16Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation
    • G01C21/165Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 by using measurements of speed or acceleration executed aboard the object being navigated; Dead reckoning by integrating acceleration or speed, i.e. inertial navigation combined with non-inertial navigation instruments

Abstract

The invention provides an SINS/LBL (strapdown inertial navigation systems/long base line) tight combination based AUV (autonomous underwater vehicle) underwater navigation positioning method. The SINS/LBL tight combination based AUV underwater navigation positioning method is characterized by comprising three major parts, namely an SINS mounted on an AUV, an LBL underwater sound positioning system laid on the seabed, and a data processing unit. The method comprises the following specific steps: firstly performing a strapdown algorithm on IMU (inertial measurement unit) data to obtain AUV position information, and representing the position information by using earth rectangular coordinates; secondly reckoning an SINS slant-range difference according to the AUV position information provided by the SINS and hydrophone array position coordinates; and thirdly establishing an LBL slant-range difference model according to LBL positioning characteristics, and correcting SINS navigation positioning information according to filter estimation compensation by taking the difference value between the SINS slant-distance difference and the LBL slant-distance difference as an observed quantity of a kalman filter. According to the SINS/LBL tight combination based AUV underwater navigation positioning method, the use of GPS and other radio positioning systems is avoided at the same, and the AUV underwater operation efficiency is improved.

Description

A kind of AUV underwater navigation localization methods based on SINS/LBL tight integrations
Technical field
The invention mainly relates to AUV underwater navigation technical fields, more particularly to a kind of AUV based on SINS/LBL tight integrations Underwater navigation localization method, is particularly well-suited to the track and localization of autonomous underwater vehicle AUV.
Background technology
AUV (Autonomous Underwater Vehicle, Autonomous Underwater Vehicle) is that one kind can be completed under water The underwater tool of the several functions such as detection, attack, delivery, salvaging, because its range of activity is wide, small volume, lightweight, disguised height The features such as, become an important directions of military affairs marine technology research both at home and abroad.
AUV high-precision independent navigation under water and locating and tracking technology are the premises and key for completing its underwater performance.Existing In some location technologies, SINS (Strapdown Inertial Navigation Systems, strap-down inertial navigation system) Because its have disguised strong, autonomy, anti-interference, data renewal frequency it is high, and the features such as there is degree of precision at short notice, Thus become the first-selected localization method of AUV Camera calibrations under water.At present, although the development of strap-down inertial technology day Become ripe, its navigation positioning error does not but change with this dynamic characteristic that time integral dissipates, in long-range, long-term navigation and force The high accuracy such as device transmitting can't fully meet requirement when navigating.The solution for appearing as this problem of integrated navigation technology is provided A kind of effective way.
LBL (Long Base Line, Long baselines) acoustic positioning system is for thousand of by the length of base installed in seabed The transponder basic matrix of rice and the composition of the interrogator on carrier, its positioning principle is using the interrogator on carrier and seabed The distance between transponder arrays information is solving AUV positions.LBL is widely used to because its sphere of action is wide, positioning precision is high Underwater hiding-machine.
In recent years, the autonomous navigation technology under water of AUV is applied to mainly with SINS and DVL (Doppler Velocity Log, Doppler anemometer) integrated navigation based on, (Global Positioning System, the whole world are fixed to be aided with water surface GPS Position system) amendment.Good navigation accuracy is achieved in testing several times, but voyage is relatively short, for DVL, works as sonar Sensor is very poor away from measuring speed precision during seabed, and when only pressing close to seabed to AUV, precision is preferable, and for GPS, AUV is needed Interruption is moved under water, and climbs up on top of the water and could utilize GPS information, and this will waste substantial amounts of time and the energy in the case of deep-sea, seriously Affect the underwater performance efficiency of AUV.
The content of the invention
For the problem of existing AUV underwater navigations precision, the invention provides a kind of AUV based on SINS/LBL tight integrations Underwater navigation localization method.
The purpose of the present invention can be achieved through the following technical solutions, specially:
(1) strapdown inertial navigation system SINS (1) is resolved by strapdown and is obtained leading including the positional information of AUV accordingly Boat information, the positional information earth geodetic coordinates P of resolvingSINS(LSS,hS) represent, and by PSINS(LSS,hS) it is converted into use Earth rectangular coordinate PSINS(xS,yS,zS) represent;
(2) the SINS AUV positional information P that primitive is provided according to SINS with target oblique distance difference reckoning module (3) two-by-twoSINS (xS,yS,zS) and hydrophone array position Pi(xi,yi,zi) calculate SINS oblique distance difference ρSINS
(3) SINS/LBL tight integrations module (4) sets up LBL according to the localization characteristics of long baseline acoustic positioning system LBL (2) Oblique distance differential mode type, by SINS oblique distances difference ρSINSAnd oblique distances of LBL hydrophone i (i=1,2,3) and AUV between and hydrophone 0 with Difference ρ of the oblique distance between AUVLBLDifference be filtered to Kalman filter as external observation information input;
(4) correction module (5) is carried out to SINS (1) according to the Kalman filtered results of SINS/LBL tight integration modules (4) Correction, finally gives accurate AUV positional informationes PAUV
The primitive method for calculating that module (3) calculating SINS oblique distances are poor poor with target oblique distance is as follows two-by-two for described SINS:
(1) according to hydrophone position P in long baseline acoustic positioning system LBLi(xi,yi,zi) and SINS resolving AUV positions PSINS(xs,ys,zs) it is calculated the oblique distance of (i=1,2,3) and AUV between hydrophone i and the oblique distance between hydrophone 0 and AUV Difference
(2) by ρSINSiUsing Taylor series linearisation.If AUV actual positions are PAUV(x, y, z), (δ x, δ y, δ z) is SINS resolves the error of AUV positions, then xS=x+ δ x, yS=y+ δ y, zS=z+ δ z.By ρSINSiTaylor series expansion takes first two :
If
In the same manner
Wherein,Gij(i=0,1,2,3;J=x, y, z) For known quantity, the general location P that can be resolved by SINSSINS(xS,yS,zS) and water-bed transponder arrays primitive position Pi(xi,yi, zi) be calculated, due to the general location P that SINS is resolvedSINS(xS,yS,zS) there may be larger error, so carrying out equation line Property when omit higher order term and can cause linearity error, it is possible to use iterative method is resolved, i.e., after first time solution, use it as near Recalculated like value again.
If:eix=Gix-G0x, eiy=Giy-G0y, eiz=Giz-G0z, i=1,2,3
Then:
ρSINSi=Ri-R0+(Gix-G0x)δx+(Giy-G0y)δy+(Giz-G0z)δz
=Ri-R0+eixδx+eiyδy+eizδz
Described SINS/LBL tight integration modules (4) to implement step as follows:
(1) LBL oblique distance differential mode types are set up
As time delay difference measurements, multi-pathway effect of acoustic propagation etc. will cause oblique distance difference measurements to have error, it is simplified model, It is believed that oblique distance mistake difference is made up of constant value biasing and random noise, then LBL hydrophone i (i=1,2,3) with the oblique distance of AUV It is represented by with difference of the hydrophone 0 with the oblique distance of AUV:
In formula, Δ RmeasFor LBL hydrophone i (i=1,2, the 3) difference with the oblique distance of AUV and hydrophone 0 and the oblique distance of AUV, Δ R is oblique distance difference true value, δ R=[δ R1 δR2 δR3]TFor random constant value, νδR(t)~N (0, QΔR) for white Gaussian noise.
(2) SINS/LBL tight integration state equations are set up
SINS/LBL tight integration state equations are described as:
Wherein:XSINSFor the state vector of SINS, XLBLFor the state vector of LBL, FSINSFor the transfer matrix of SINS, FLBL For the transfer matrix of LBL, WSINSFor the system noise vector of SINS, WLBLFor the system noise vector of LBL, F is tight integration system Transfer matrix, X are tight integration system mode vector, and W is tight integration system noise vector.
According to error features during strapdown inertial navigation system long-term work, site error, velocity error, attitude is selected to miss Difference, gyroscopic drift and accelerometer bias are used as quantity of state:
XSINS=[δ VE δVN δVU φE φN φU δL δL δh ▽bxbybz εbx εby εbz]T
In formula, δ VE、δVN、δVUBe respectively strapdown east orientation, north orientation, day to velocity error,It is prompt respectively Connection east orientation, north orientation, day to misalignment, δ L, δ λ, δ h are strapdown latitude, longitude, height error respectively, three site errors by Terrestrial coordinate system is described, ▽bx、▽by、▽bzIt is biased error that strapdown adds three axial directions of table, εbx、εby、εbzIt is Strapdown Gyro Using Three are axially drifted about.
XLBL=[δ R1 δR2 δR3]T
In formula, δ R1、δR2、δR3The oblique distance of respectively LBL hydrophone i (i=1,2,3) and AUV is with hydrophone 0 with AUV's The Random Constant Drift of the difference of oblique distance.
System noise acoustic matrix
WLBL=[0 0 0]T
Systematic state transfer matrix
In formula,
Wherein:FijFor F9×9Element
RNFor the radius of curvature of reference ellipsoid meridian plane Inner, RN=Re(1-2e+3e sin2 L)
REFor the radius of curvature of vertical meridian plane Inner, RE=Re(1+e sin2 L)
Wherein:ReFor the major axis radius of reference ellipsoid;Ovalitys of the e for ellipsoid.
F37=-2 ωie cos LVE
F57=-ωie sin L
CijFor attitude transfer matrixElement
FLBL=03×3
(3) SINS/LBL tight integration measurement equations are set up.
Tight integration system is using the hydrophone that SINS the is calculated difference poor with the oblique distance that LBL measurements are obtained with the oblique distance difference of AUV As observed quantity.In tight integration system, if the oblique distance difference that LBL is measured is ρLBLi, the position of water-bed transponder arrays primitive is P (xi,yi,zi), the AUV positions that SINS is measured are PSINS(xS,yS,zS), the AUV positions P measured by SINSSINS(xS,yS,zS) and The position of water-bed transponder arrays primitive is Pi(xi,yi,zi) determined by oblique distance difference be ρSINSi
SINS oblique distances are poor:
ρSINSi=Ri-R0+(Gix-G0x)δx+(Giy-G0y)δy+(Giz-G0z)δz
=Ri-R0+eixδx+eiyδy+eizδz
LBL oblique distances are poor
Then measure and can be write as
Then have:
When system adopts earth rectangular coordinate system (Oxeyeze) as navigational coordinate system when, can with above formula construct system measurements Equation.It is that, with longitude and latitude and altitude location, therefore dx, dy, dz dl, d λ, dh are represented in practical application.
By
Measurement equation is Z3×1=H3×18X18×1+VΔR(3×1)
In formula,
IfWherein aij(i=1,2,3;J=1,2,3 it is) matrix H1Element
H1Nonzero element is as follows:
ai1=-(RN+h)sin L cos λei1-(RN+h)sin L sin λei2+[RN(1-e2)+h]ei3
ai2=-(RN+h)cos L sin λei1-(RN+h)cos L cos λei2
ai3=cos L cos λ ei1+cos L sin λei2+sin Lei3(i=1,2,3)
Described correction module (5) enters to SINS (1) according to the Kalman filtered results of SINS/LBL tight integration modules (4) Row correction, finally gives accurate AUV positional informationes PAUV
Compared with prior art, the invention has the advantages that:
(1) solve the problems, such as SINS systematic errors with time integral, it is ensured that AUV long-term autonomous navigator fixs under water Precision, while avoid the use of GPS and other radio positioning systems, be that underwater performance saves time and energy consumption, improve AUV underwater performance efficiency.
(2) present invention introduces SINS and LBL tight integrations, to inertial navigation system and sound system combination application Research has certain meaning.
Description of the drawings
Fig. 1 is SINS/LBL tight integration alignment system theory diagrams;
Fig. 2 is long baseline acoustic positioning system LBL schematic diagrams;
Fig. 3 is hydrophone node locating schematic diagram.
Specific embodiment
Below in conjunction with the accompanying drawings, further elucidate the present invention.
As shown in figure 1, the present invention is placed on the length in seabed by the strapdown inertial navigation system SINS (1) on AUV, cloth Baseline acoustic positioning system LBL (2) and data processing unit three parts composition.Data processing unit includes SINS primitives two-by-two With the poor computing module of AUV oblique distances (3), SINS/LBL tight integration modules (4) and correction module (5).By tight with LBL using SINS The method of combination completes AUV independent navigations under water, implements step as follows:
(1) inertial measurement component (IMU) output data is resolved by strapdown and obtains AUV positional informationes, use earth ground Coordinate PSINS(LSS,hS) represent, and by PSINS(LSS,hS) be converted into earth rectangular coordinate PSINS(xS,yS,zS) represent.
Described SINS (1) system includes IMU (Inertial Measurement Unit, Inertial Measurement Unit) element And strapdown resolves module, for obtaining inertial data, strapdown resolves module is used to be resolved by strapdown, is navigated IMU elements Information, including positional information PSINS
1) SINS attitude matrixs and attitude angle are calculated
Attitude matrix is calculated using Quaternion Method, according to Euler's theorem, orientation etc. of the moving coordinate system with respect to reference frame Imitate and rotate an angle, θ around certain Equivalent Axis in moving coordinate system, if the unit vector in Equivalent Axis direction is represented with u, The orientation of moving coordinate system is determined completely by two parameters of u and θ.
A quaternary number can be constructed with u and θ:
To above formula derivation, simultaneously abbreviation can obtain quaternion differential equation:
In formula
Quaternion differential equation is solved according to complete card approximatioss to obtain:
In formula
In formula
The spin velocity for making terrestrial coordinate system relative inertness coordinate system is ωie, (its value is 15.04088 °/h), L is represented Local latitude, λ represent local longitude, then
ωie n:Vector of the spin velocity of terrestrial coordinate system relative inertness coordinate system in geographic coordinate system, be:
ωie b:Vector of the spin velocity of terrestrial coordinate system relative inertness coordinate system in carrier coordinate system, be:
Attitude matrix in formula is determined by initial angle in carrier stationary;When carrier is rotated relative to geographic coordinate system, Attitude matrix and then changes, and tries to achieve (similarly hereinafter) after being corrected by quaternary number immediately.
ωen n:Vector of the geographical coordinate with respect to terrestrial coordinate system rotational angular velocity in geographic coordinate system, be:
VE、VNThe respectively east orientation and north orientation speed of carrier movement;
RNFor the radius of curvature in reference ellipsoid meridian plane, RN=Re(1-2e+3e sin2L);
REFor the radius of curvature in the plane normal of vertical meridian plane, RE=Re(1+e sin2L);
Wherein ReFor the major axis radius of reference ellipsoid;Ovalitys of the e for ellipsoid.
And because,Then
ωen b:Vector of the geographical coordinate with respect to terrestrial coordinate system rotational angular velocity in carrier coordinate system, be:
ωib b:Gyro output angle speed, is designated as
ωnb b:Carrier coordinate system is designated as with respect to the vector of the rotational angular velocity in carrier coordinate system of geographic coordinate system
Can then obtain
ωnb bib bie ben b
After quaternary number is corrected immediately, can be by first real-time update attitude matrix of quaternary number according to following formula
Real-time attitude angle is can extract from attitude battle array
2) SINS speed calculation
Ratio force vector in carrier coordinate system is fb, then have in geographic coordinate system:
Direction cosine matrix in formulaIn carrier stationary, determined by initial angle;When the relative geographic coordinate system of carrier During rotation, direction cosine matrixAnd then change, try to achieve after being corrected by quaternary number immediately.
Specific force equation of the carrier in inertial navigation system be:
Being write as component form has:
In formula:fnFor the projection that carrier acceleration is fastened in navigation coordinate, fn=[fE fN fU]T;VnRepresent that hull is being led Velocity in boat coordinate system, Vn=[VE VN VU]T;gnFor gravity acceleration, gn=[0 0-g]T
Integration above formula, you can try to achieve each velocity component V that carrier is fastened in navigation coordinateE、VN、VU
3) position calculation
The differential equation for obtaining longitude and latitude height can be expressed as follows:
In formula, h is height.
The more new formula of the longitude and latitude height of integration above formula can obtain longitude and latitude and height:
Then obtain position P (λ, L, h).
4) by the AUV for 3) obtaining earth rectangular coordinate system coordinate PSINS(LSS,hS) which is converted in earth ground The coordinate P of coordinate systemSINS(xS,yS,zS)。
Can be by formula
Obtain PSINS(xS,yS,zS)。
In formula:RNFor the radius of curvature of reference ellipsoid meridian plane Inner, RN=Re(1-2e+3e sin2 L)
REFor the radius of curvature of vertical meridian plane Inner, RE=Re(1+e sin2 L)
Wherein:ReFor the major axis radius of reference ellipsoid;Ovalitys of the e for ellipsoid.
(2) primitive is calculated SINS with target oblique distance difference two-by-two
1) the AUV positions P resolved according to SINSSINS(xs,ys,zs) and long baseline acoustic positioning system LBL in hydrophone base First position Pi(xi,yi,zi) be calculated between oblique distance and hydrophone 0 and AUV of the hydrophone i (i=1,2,3) and AUV between The difference of oblique distance
Described long baseline acoustic positioning system LBL (2) four positions in seabed are placed on by cloth known to hydrophone constitute, As shown in Fig. 2 the distance between each hydrophone is 4km.As shown in figure 3, lash ship is utilized, using ultra short base line to hydrophone It is accurately positioned, is calculated accurate coordinates value.GPS, IMU and compass are installed on lash ship, lash ship bottom is provided with transducer array. Relative position of each hydrophone under transducer array coordinate is calculated according to ultra short base line, with reference to lash ship GPS location, The factor such as lash ship attitude and each alignment error can calculate absolute position of each hydrophone node under terrestrial coordinates.
2) by ρSINSiUsing Taylor series linearisation.If AUV actual positions are PAUV(x, y, z), (δ x, δ y, δ z) are SINS The error of AUV positions is resolved, then xS=x+ δ x, yS=y+ δ y, zS=z+ δ z.By ρSINSiTaylor series expansion takes first two and obtains:
If
In the same manner
Wherein,Gij(i=0,1,2,3;J=x, y, z) For known quantity, the general location P that can be resolved by SINSSINS(xS,yS,zS) and water-bed transponder arrays primitive position Pi(xi,yi, zi) be calculated, due to the general location P that SINS is resolvedSINS(xS,yS,zS) there may be larger error, so carrying out equation line Property when omit higher order term and can cause linearity error, it is possible to use iterative method is resolved, i.e., after first time solution, use it as near Recalculated like value again.
If:eix=Gix-G0x, eiy=Giy-G0y, eiz=Giz-G0z, i=1,2,3
Then:
ρSINSi=Ri-R0+(Gix-G0x)δx+(Giy-G0y)δy+(Giz-G0z)δz
=Ri-R0+eixδx+eiyδy+eizδz
(3) SINS/LBL tight integrations
1) LBL oblique distance differential mode types are set up
As time delay difference measurements, multi-pathway effect of acoustic propagation etc. will cause oblique distance difference measurements to have error, it is simplified model, It is believed that oblique distance mistake difference is made up of constant value biasing and random noise, then LBL hydrophone i (i=1,2,3) with the oblique distance of AUV It is represented by with difference of the hydrophone 0 with the oblique distance of AUV:
In formula, Δ RmeasFor LBL hydrophone i (i=1,2, the 3) difference with the oblique distance of AUV and hydrophone 0 and the oblique distance of AUV, Δ R is oblique distance difference true value, δ R=[δ R1 δR2 δR3]TFor random constant value, νδR(t)~N (0, QΔR) for white Gaussian noise.
2) SINS/LBL tight integration state equations are set up
SINS/LBL tight integration state equations are described as:
Wherein:XSINSFor the state vector of SINS, XLBLFor the state vector of LBL, FSINSFor the transfer matrix of SINS, FLBL For the transfer matrix of LBL, WSINSFor the system noise vector of SINS, WLBLFor the system noise vector of LBL, F is tight integration system Transfer matrix, X are tight integration system mode vector, and W is tight integration system noise vector.
According to error features during strapdown inertial navigation system long-term work, site error, velocity error, attitude is selected to miss Difference, gyroscopic drift and accelerometer bias are used as quantity of state:
XSINS=[δ VE δVN δVU φE φN φU δL δL δh ▽bxbybz εbx εby εbz]T
In formula, δ VE、δVN、δVUBe respectively strapdown east orientation, north orientation, day to velocity error,It is prompt respectively Connection east orientation, north orientation, day to misalignment, δ L, δ λ, δ h are strapdown latitude, longitude, height error respectively, three site errors by Terrestrial coordinate system is described, ▽bx、▽by、▽bzIt is biased error that strapdown adds three axial directions of table, εbx、εby、εbzIt is Strapdown Gyro Using Three are axially drifted about.
XLBL=[δ R1 δR2 δR3]T
In formula, δ R1、δR2、δR3The oblique distance of respectively LBL hydrophone i (i=1,2,3) and AUV is with hydrophone 0 with AUV's The random constant error of the difference of oblique distance.
System noise acoustic matrix
WLBL=[0 0 0]T
Systematic state transfer matrix
In formula,
Wherein:FijFor F9×9Element,
RNFor the radius of curvature of reference ellipsoid meridian plane Inner, RN=Re(1-2e+3e sin2 L)
REFor the radius of curvature of vertical meridian plane Inner, RE=Re(1+e sin2 L)
Wherein:ReFor the major axis radius of reference ellipsoid;Ovalitys of the e for ellipsoid.
F37=-2 ωie cos LVE
F57=-ωie sin L
CijFor attitude transfer matrixElement
FLBL=03×3
3) SINS/LBL tight integration measurement equations are set up
Tight integration system is using the hydrophone that SINS the is calculated difference poor with the oblique distance that LBL measurements are obtained with the oblique distance difference of AUV As observed quantity.In tight integration system, if the oblique distance difference that LBL is measured is ρLBLi, the position of water-bed transponder arrays primitive is P (xi,yi,zi), the AUV positions that SINS is measured are PSINS(xS,yS,zS), the AUV positions P measured by SINSSINS(xS,yS,zS) and The position of water-bed transponder arrays primitive is Pi(xi,yi,zi) determined by oblique distance difference be ρSINSi
SINS oblique distances are poor:
LBL oblique distances are poor
Then measure and can be write as
Then have:
When system adopts earth rectangular coordinate system (Oxeyeze) as navigational coordinate system when, can with above formula construct system measurements Equation.It is that, with longitude and latitude and altitude location, therefore dx, dy, dz dl, d λ, dh are represented in practical application.
By
Measurement equation is Z3×1=H3×18X18×1+VΔR(3×1)
In formula,
Wherein aij(i=1,2,3;J=1,2,3 it is) matrix H1Element
H1Nonzero element is as follows:
ai1=-(RN+h)sin L cos λei1-(RN+h)sin L sin λei2+[RN(1-e2)+h]ei3
ai2=-(RN+h)cos L sin λei1-(RN+h)cos L cos λei2
ai3=cos L cos λ ei1+cos L sin λei2+sin Lei3(i=1,2,3)
4) discretization of system state equation and measurement equation
Xkk,k-1Xk-1k-1Wk-1
Zk=HkXk+Vk
In formula, XkFor the state vector at k moment, that is, it is estimated vector;ZkFor the measurement sequence at k moment;Wk-1For k-1 The system noise at moment;VkFor the measurement noise sequence at k moment;Φk,k-1For the step state transfer square at k-1 moment to k moment Battle array;Γk-1It is system noise input matrix, HkFor the calculation matrix at k moment,
The optimal estimation of state is calculated using standard Kalman filtering equations:
State one-step prediction vector
Xk/k-1k,k-1Xk-1
State Estimation is calculated
Xk=Xk/k-1+Kk(Zk-HkXk/k-1)
Filtering gain
Kk=Pk/k-1Hk T(HkPk/k-1Hk T+Rk)-1
One-step prediction mean square error matrix
Estimate mean square error equation
(4) correct
According to the state estimation that filtering is obtained, it is corrected by following methods.
1) speed and position correction
Before filtering next time, the speed and position that each strapdown resolving is obtained is corrected by following formula:
2) inertia type instrument output calibration
Before filtering next time, the inertia type instrument output required when resolving of each strapdown is being corrected by following formula using front:
3) attitude matrix, the correction of quaternary number
Attitude updating:Before filtering next time, each strapdown is resolved obtain as the following formulaBe corrected.
Quaternary number is corrected:Because strapdown is resolved and uses Quaternion Algorithm, changed using quaternary number in algorithm What in generation, updated, it is all also to need to be corrected quaternary number.Quaternary number can be by the attitude matrix for updatingIt is converted to.

Claims (1)

1. a kind of AUV underwater navigation localization methods based on SINS/LBL tight integrations, it is characterised in that:Navigation positioning system used By the strapdown inertial navigation system SINS (1) on the AUV, cloth be placed on seabed long baseline acoustic positioning system LBL (2) and Data processing unit is constituted, wherein, described strapdown inertial navigation system SINS (1) is including strapdown resolves module, described length Baseline acoustic positioning system LBL (2) four positions in seabed are placed on by cloth known to hydrophone array constitute, at described data Reason unit includes that primitive calculates module (3), SINS/LBL tight integration modules (4) and correction module with AUV oblique distances difference to SINS two-by-two (5) integrated navigation is completed using SINS/LBL tight integration methods, methods described is realized through the following steps:
(1) strapdown inertial navigation system SINS (1) resolves the navigation letter for obtaining positional information accordingly including AUV by strapdown Breath, the positional information earth geodetic coordinates P of resolvingSINS(LSS,hS) represent, and by PSINS(LSS,hS) be converted into and use the earth Rectangular coordinate PSINS(xS,yS,zS) represent;
(2) the SINS AUV positional information P that primitive is provided according to SINS with AUV oblique distances difference reckoning module (3) two-by-twoSINS(xS,yS, zS) and hydrophone array position Pi(xi,yi,zi) calculate SINS oblique distance difference ρSINS
(3) SINS/LBL tight integrations module (4) sets up LBL oblique distances according to the localization characteristics of long baseline acoustic positioning system LBL (2) Differential mode type, by SINS oblique distances difference ρSINSAnd the oblique distance and the oblique distance between hydrophone 0 and AUV between LBL hydrophone i and AUV it Difference ρLBLDifference be filtered to Kalman filter as external observation information input, wherein, i=1,2,3;
(4) correction module (5) is corrected to SINS (1) according to the Kalman filtered results of SINS/LBL tight integration modules (4), Finally give accurate AUV positional informationes PAUV;With AUV oblique distances difference, primitive calculates that module (3) calculating SINS oblique distances are poor to SINS two-by-two Method it is as follows:
(1) the AUV positions P resolved according to SINSSINS(xs,ys,zs) and long baseline acoustic positioning system LBL in hydrophone primitive position Put Pi(xi,yi,zi) oblique distance that is calculated between hydrophone i and AUV and the oblique distance between hydrophone 0 and AUV differenceWherein, i=1,2, 3;
(2) by ρSINSiUsing Taylor series linearisation, if AUV actual positions are PAUV(x, y, z), (δ x, δ y, δ z) are solved for SINS The error of AUV positions is calculated, then xS=x+ δ x, yS=y+ δ y, zS=z+ δ z;By ρSINSiTaylor series expansion takes first two and obtains:
ρ S I N S i = ( x - x i ) 2 + ( y - y i ) 2 + ( z - z i ) 2 - ( x - x 0 ) 2 + ( y - y 0 ) 2 + ( z - z 0 ) 2 + ∂ ρ S I N S i ∂ x δ x + ∂ ρ S I N S i ∂ y δ y + ∂ ρ S I N S i ∂ z δ z
If
In the same manner
∂ ρ S I N S i ∂ z = z S - z i R i - z S - z 0 R 0 = G i z - G 0 z , i = 1 , 2 , 3 ;
Wherein,GijFor known quantity, i= 0,1,2,3, j=x, y, z, the general location P that can be resolved by SINSSINS(xS,yS,zS) and water-bed transponder arrays primitive position Pi (xi,yi,zi) be calculated, due to the general location P that SINS is resolvedSINS(xS,yS,zS) there may be larger error, so entering Higher order term is omitted during row equation linearisation and can cause linearity error, resolved using iterative method, i.e., after first time solution, made with it Recalculated for approximation again;
If:eix=Gix-G0x, eiy=Giy-G0y, eiz=Giz-G0z, i=1,2,3
Then:
ρ S I N S i = R i - R 0 + ( G i x - G 0 x ) δ x + ( G i y - G 0 y ) δ y + ( G i z - G 0 z ) δ z = R i - R 0 + e i x δ x + e i y δ y + e i z δ z , i = 1 , 2 , 3 ;
The SINS/LBL tight integrations module (4) to implement step as follows:
(1) LBL oblique distance differential mode types are set up;As time delay difference measurements, multi-pathway effect of acoustic propagation etc. will cause oblique distance difference measurements There is error, be simplified model, it is believed that oblique distance mistake difference is made up of constant value biasing and random noise, then LBL hydrophone i and AUV Difference of the oblique distance with hydrophone 0 with the oblique distance of AUV be represented by:
ΔR m e a s = Δ R + δ R + ν Δ R δ R · = 0
In formula, Δ RmeasFor the oblique distance and hydrophone 0 and the difference of the oblique distance of AUV of LBL hydrophone i and AUV, Δ R is that oblique distance difference is true Value, δ R=[δ R1 δR2 δR3]TFor random constant value, vΔR~N (0, QΔR) for white Gaussian noise, i=1,2,3;
(2) SINS/LBL tight integration state equations are set up;
SINS/LBL tight integration state equations are described as:
Wherein:XSINSFor the state vector of SINS, XLBLFor the state vector of LBL, FSINSFor the transfer matrix of SINS, FLBLFor LBL Transfer matrix, WSINSFor the system noise vector of SINS, WLBLSystem noise for LBL is vectorial, and F is that tight integration system is shifted Matrix, X are tight integration system mode vector, and W is tight integration system noise vector;According to strapdown inertial navigation system long-term work When error features, select site error, velocity error, attitude error, gyroscopic drift and accelerometer bias as quantity of state:
In formula, δ VE、δVN、δVUBe respectively strapdown east orientation, north orientation, day to velocity error,It is strapdown east respectively To, north orientation, day to misalignment, δ L, δ λ, δ h are strapdown latitude, longitude, height error respectively, and three site errors are by the earth Coordinate system is described,It is biased error that strapdown adds three axial directions of table, εbx、εby、εbzIt is three of Strapdown Gyro Using Axially drift about;
XLBL=[δ R1 δR2 δR3]T
In formula, δ R1、δR2、δR3The respectively oblique distance of LBL hydrophone i and AUV is random with the difference of the oblique distance of AUV with hydrophone 0 Constant value drift, wherein, i=1,2,3;System noise acoustic matrix
W S I N S = ω V E ω V N ω V U ω φ E ω φ N ω φ U ω δ L ω δ λ ω δ h 0 0 0 0 0 0 T
WLBL=[0 0 0]T
Systematic state transfer matrix
In formula,
Wherein:FijFor F9×9Element
RNFor the radius of curvature of reference ellipsoid meridian plane Inner, RN=Re(1-2e+3esin2L)
REFor the radius of curvature of vertical meridian plane Inner, RE=Re(1+esin2L)
Wherein:ReFor the major axis radius of reference ellipsoid;Ovalitys of the e for ellipsoid, L is local latitude;
F 11 = V N R E + h t g L - V U R E + h F 12 = 2 ω i e sin L + V E R E + h tan L
F 13 = - 2 ω i e cos L + V E R E + h F 17 = ( 2 ω i e cos L + V E R N + h sec 2 L ) V N + 2 ω i e sin LV U
F 21 = - 2 ( ω i e sin L + V E R E + h t g L ) F 22 = - V U R N + h
F 23 = - V N R N + h F 27 = - ( 2 ω i e cos L + V E R E + h sec 2 L ) V E
F 31 = 2 ( ω i e cos L + V E R E + h ) F 32 = 2 V N R N + h
F37=-2 ωie cosLVE
F 45 = ω i e sin L + V E R E + h t g L F 46 = - ( ω i e cos L + V E R E + h )
F 51 = 1 R E + h F 54 = - ( ω i e sin L + V E R E + h t g L )
F57=-ωie sinL
F 61 = 1 R E + h t g L F 64 = ω i e cos L + V E R E + h
F 65 = V N R N + h F 67 = ω i e cos L + V E R E + h sec 2 L
F 72 = 1 R N + h F 81 = 1 R E + h sec L
F 87 = V E R E + h sec L t g L
C 9 × 6 = C 11 C 21 C 31 0 0 0 C 12 C 22 C 32 0 0 0 C 13 C 23 C 33 0 0 0 0 0 0 - C 11 - C 21 - C 31 0 0 0 - C 12 - C 22 - C 32 0 0 0 - C 13 - C 23 - C 33 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
CijFor attitude transfer matrixElement
FLBL=03×3
(3) SINS/LBL tight integration measurement equations are set up;
Tight integration system is using the hydrophone that SINS the is calculated difference conduct poor with the oblique distance that LBL measurements are obtained with the oblique distance difference of AUV Observed quantity;In tight integration system, if the oblique distance difference that LBL is measured is ρLBLi, the position of water-bed transponder arrays primitive is Pi(xi, yi,zi), the AUV positions that SINS is measured are PSINS(xS,yS,zS), the AUV positions P measured by SINSSINS(xS,yS,zS) and it is water-bed The position of transponder arrays primitive is Pi(xi,yi,zi) determined by oblique distance difference be ρSINSi
SINS oblique distances are poor
ρSINSi=Ri-R0+(Gix-G0x)δx+(Giy-G0y)δy+(Giz-G0z)δz
=Ri-R0+eixδx+eiyδy+eizδz
LBL oblique distances are poor
Then measure and can be write as
Then have:
δ ρ = δρ 1 δρ 2 δρ 3 = e 1 x e 1 y e 1 z - 1 0 0 e 2 x e 2 y e 3 z 0 - 1 0 e 3 x e 3 y e 3 z 0 0 - 1 δ x δ y δ z δR 1 δR 2 δR 3 + ν δR 1 ν δR 2 ν δR 3
When system adopts earth rectangular coordinate system (Oxeyeze) as navigational coordinate system when, with above formula construct system measurements equation; It is that, with longitude and latitude and altitude location, therefore dx, dy, dz dl, d λ, dh are represented in practical application;
By
δ x = δ h cos L c o s λ - ( R N + h ) sin L c o s λ δ L - ( R N + h ) cos L s i n λ δ λ δ y = δ h cos L s i n λ - ( R N + h ) sin L sin λ δ L - ( R N + h ) cos L cos λ δ λ δ z = δ h sin L + [ R N ( 1 - e 2 ) + h ] cos L δ L
Measurement equation is Z3×1=H3×18X18×1+VΔR(3×1)
In formula,
IfWherein aijFor matrix H1Element, i=1,2,3;J=1,2,3;
H1Nonzero element is as follows:
ai1=-(RN+h)sin L cosλe1x-(RN+h)sin L sinλe1y+[RN(1-e2)+h]cos Le1z
ai2=-(RN+h)cos L sinλe2x-(RN+h)cos L cosλe2y
ai3=cos L cos λ e3x+cos L sinλe3y+sin Le3zI=1,2,3.
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Families Citing this family (21)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106483498A (en) * 2015-09-01 2017-03-08 北京自动化控制设备研究所 A kind of SINSUSBL close coupling algorithm
CN105526931A (en) * 2015-12-02 2016-04-27 中国人民解放军91388部队 Combined navigation method for underwater vehicle based on individual seabed transponder
CN105676855B (en) * 2016-01-29 2018-06-19 中国船舶重工集团公司第七一〇研究所 A kind of navigation pose calibrating system and method for long-range self-propelled mine approximately level
CN106643709B (en) * 2016-10-10 2019-12-31 东南大学 Combined navigation method and device for offshore carrier
CN107990891B (en) * 2016-10-26 2021-05-28 中国科学院沈阳自动化研究所 Underwater robot combined navigation method based on long baseline and beacon online calibration
CN106767793A (en) * 2017-01-19 2017-05-31 东南大学 A kind of AUV underwater navigation localization methods based on SINS/USBL tight integrations
CN107656281A (en) * 2017-08-17 2018-02-02 东南大学 A kind of air navigation aid of the time difference auxiliary SINS based on cepstral analysis
CN107966145B (en) * 2017-12-21 2020-12-15 中国船舶重工集团公司第七0七研究所 AUV underwater navigation method based on sparse long baseline tight combination
CN108344999B (en) * 2018-01-09 2020-08-11 浙江大学 Sonar map construction and repositioning method for underwater robot navigation
CN108444476B (en) * 2018-02-05 2021-04-23 哈尔滨工程大学 Polar region collaborative navigation method of multi-underwater unmanned vehicle considering underwater acoustic communication delay
CN108834050A (en) * 2018-06-15 2018-11-16 哈尔滨工程大学 A kind of Long baselines positioning system base station and communication means
CN109186593A (en) * 2018-09-13 2019-01-11 深圳市吉影科技有限公司 A kind of motion profile record method for drafting of underwater unmanned plane
CN109324330A (en) * 2018-09-18 2019-02-12 东南大学 Based on USBL/SINS tight integration navigation locating method of the mixing without derivative Extended Kalman filter
CN109596128B (en) * 2019-01-14 2022-06-21 哈尔滨工程大学 Method for improving multi-AUV (autonomous Underwater vehicle) cooperative positioning performance based on multi-hydrophone
CN110132308B (en) * 2019-05-27 2022-04-29 东南大学 Attitude determination-based USBL installation error angle calibration method
CN110244261B (en) * 2019-06-28 2021-05-18 中国科学院声学研究所 Method, system, equipment and storage medium for ultra-short baseline orientation estimation of any array type
CN110542884B (en) * 2019-08-28 2020-11-06 中国科学院声学研究所 Long baseline navigation positioning method based on inertial navigation correction
CN110749339A (en) * 2019-10-25 2020-02-04 嘉兴中科声学科技有限公司 Positioning calibration method and device of underwater vehicle, shipborne equipment and underwater equipment
CN111380517B (en) * 2020-03-04 2021-10-29 哈尔滨工程大学 SINS/USBL deep combination navigation positioning method based on USBL software receiver
CN112184765A (en) * 2020-09-18 2021-01-05 西北工业大学 Autonomous tracking method of underwater vehicle based on vision
CN113156442A (en) * 2021-03-22 2021-07-23 河海大学 AUV (autonomous underwater vehicle) underwater positioning method based on long-baseline underwater acoustic system auxiliary navigation

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103744098A (en) * 2014-01-23 2014-04-23 东南大学 Ship's inertial navigation system (SINS)/Doppler velocity log (DVL)/global positioning system (GPS)-based autonomous underwater vehicle (AUV) combined navigation system
CN104061930A (en) * 2013-12-05 2014-09-24 东南大学 Navigation method based on strapdown inertial guidance and Doppler log

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104061930A (en) * 2013-12-05 2014-09-24 东南大学 Navigation method based on strapdown inertial guidance and Doppler log
CN103744098A (en) * 2014-01-23 2014-04-23 东南大学 Ship's inertial navigation system (SINS)/Doppler velocity log (DVL)/global positioning system (GPS)-based autonomous underwater vehicle (AUV) combined navigation system

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
"Autonomous Underwater Vehicle Navigation";Paul A. Miller;《IEEE JOURNAL OF OCEANIC ENGINEERING》;20100731;正文第663-676页 *
"GAS Tightly Coupled LBL/USBL Position and Velocity Filter for Underwater Vehicles";Pedro Batista;《2013 European Control Conference (ECC)》;20130719;正文第2982-2987页 *
"长基线声学定位系统发展现状及其应用";宁津生;《海洋测绘》;20140630;第4卷(第1期);正文第221-224页 *

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